Experimental Study of Distributed SWAP-GA Models on the Grid

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概要

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• Recently the phenomenon which quantifies the agricultural and water management practices from remote sensing (RS) imagery has been adapted to help the policy makers and farm/water managers to make better operational decisions. SWAP-GA is a combined model of the SWAP (Soil Water Atmosphere and Plant) crop model and the Remote Sensing (RS) data assimilation technique which is optimized by Genetic Algorithm (GA). However to run the SWAP-GA model on a single PC requires a massive amount of processing time. Based on the above observation distributed or parallel computing can be a preeminent and convincing solution. At present Multi-cluster Grids have emerged as the most popular type of distributed computing system. However the performances of different parallelization methodologies on the Grid have not been discussed thoroughly. This paper presents the implementation of the SWAPGA application and discusses its impact on the performance of parallelization methods.

• 一般社団法人情報処理学会の論文
• 2008-08-21

著者

• Kento Aida

  Tokyo Institution Of Technology | National Institute Of Informatics

• Kento Aida

  Tokyo Institute Of Technology National Institute Of Informatics

• Shamim Akhter

  Tokyo Institute of Technology

• Kiyoshi Osawa

  Tokyo Institute of Technology

• Motokazu Nishimura

  Tokyo Institute of Technology

関連論文

• Interactive Application Scheduling with GridRPC
• Experimental Study of Distributed SWAP-GA Models on the Grid

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